The communities in a network have distinct characteristics and interrelationships. Community discovery methods based on node embedding and deep learning have surpassed spectral clustering and statistical inference as the preferred methods for handling high-dimensional network data. Community...

This paper examines the emergence of China - now the world's largest source of scientific publications - in global science from the perspective of the connectivity of its major cities in interurban scientific collaboration networks. We construct collaboration networks between 526 major cities...